Adperical Retail Data Network

The Retail Data & In-Store Media Network for Lebanon and the Middle East

Purchase-based audiences, closed-loop measurement at the register, and in-store media — built on supermarket partnerships in Lebanon and expanding across the Middle East. Open to brands, agencies, and the buying platforms and agents that route global ad demand.

Learn How It Works
The Problem

The Middle East Has Almost No Neutral Retail Media Infrastructure

There is no structured way for brands to target real shoppers or prove that advertising drove in-store purchases. Retailers sit on valuable transaction data that isn't monetized. Brands spend on guesswork.

No Audience Data

Brands target demographics instead of actual purchase behavior. There's no way to reach "people who buy hummus weekly" or "high-value grocery shoppers."

No Closed-Loop Measurement

Campaigns report impressions and clicks, but no one can prove whether an ad drove a purchase at Spinneys, Tawfeer, or any other retailer — and the global buying platforms have no in-store data or inventory to call on in this region.

No Data Monetization

Retailers process thousands of transactions daily. That data has enormous value for brands — but today, it generates zero revenue for the retailer.

How RDN Works

From Transaction Data to Measurable Growth

Four steps to turn raw retail data into precision targeting and proof of performance.

01

Data Ingestion

Retailers connect their POS or transaction data via a simple API or file upload. Data is hashed and anonymized on ingestion — no raw PII is ever stored.

02

Segment Builder

Audience segments are created from real purchase behavior: category buyers, frequency tiers, basket value, brand loyalists, and lapsed buyers.

03

Activation

Segments are pushed to Meta, Google, and The Trade Desk. Brands run campaigns targeting real shoppers — not guessed demographics.

04

Measurement

Ad exposure is matched to post-campaign transaction data. The result: proof of incremental sales lift, SKU by SKU, store by store.

For Retailers

Your Data Is Your Most Valuable Asset. Monetize It.

You process thousands of transactions every day across your stores. That data — what people buy, how often, how much they spend — is exactly what brands need to target the right audience and prove their advertising works.

Today, that data sits unused. Adperical Retail Data Network turns it into a revenue stream — without changing your operations, without exposing customer information, and without any infrastructure investment on your end.

You maintain full control. We handle everything else.

Zero Infrastructure Cost

No systems to build, no teams to hire. A simple API or data export is all that's needed.

Privacy-First Architecture

Customer data is hashed and anonymized. No PII is shared with brands. You control access.

Revenue Share Model

Earn from every campaign that targets your audience segments and every measurement study that uses your data.

"You're sitting on one of the most valuable assets in the market — your customer data. Today it's not monetized. We can turn it into a new revenue stream — without changing your operations."

For Brands

Target Real Buyers. Prove Real Sales.

We don't just target audiences — we prove which customers actually bought your product.

Audience Segments

Target Based on What People Actually Buy

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Category Buyers

"Bought dairy products in the last 30 days"

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Frequency Tiers

"Shops 3+ times per week"

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High-Value Shoppers

"Average basket value above $80"

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Brand Loyalists

"Bought Toom Time garlic sauce 5+ times"

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Lapsed Buyers

"Bought hummus regularly, not in last 60 days"

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New Category Entrants

"First organic product purchase this month"

Closed-Loop Measurement

From Ad Exposure to Purchase Proof

Step 1

Campaign Runs

→
Step 2

Exposure Tracked

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Step 3

Purchase Matched

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Step 4

Lift Calculated

"+14% lift in garlic sauce purchases at Retailer X Downtown among exposed shoppers vs. control group."

Example measurement output
In-Store Media

The Surfaces the Web Can't Reach — Measured by the Same Data

Most of what influences a grocery purchase happens inside the store. The network turns retailer surfaces into bookable, measurable media — sold to brands, measured against the register, and shared with the retailer.

Screens & Shelf

In-store screens, shelf-edge and robotic shelf media, end-caps and checkout displays, scheduled by store and daypart.

Receipt & Loyalty

Receipt messaging, loyalty-app placements and offers targeted to purchase-based segments the retailer approves.

Sampling & Activation

Sampling, demos and activations planned where category buyers actually shop, with sell-through measured store by store.

One Measurement

Every in-store placement is read against transaction data the same way as a digital campaign: exposed stores and periods versus control, SKU by SKU.

For Platforms & Agencies

Retail Audiences and Register-Level Proof, Callable by Any Buyer

Advertising is consolidating into universal buying platforms and the agents that run on them. They can put money anywhere, but they can't specialise in every market and every surface. The network is the vertical they call for retail in the Middle East: intent data, in-store inventory, and measurement, through an MCP server that is an AdCP 3.2 Signals agent, in preview today.

Audiences on Demand

Discover and size purchase-based segments by retailer, category, frequency, basket value and region, and activate them to Meta, Google and The Trade Desk — or to the retailer's own surfaces.

Measurement as a Service

Closed-loop sales lift for any campaign the platform runs, regardless of where the media was bought: exposed versus control, matched to real transactions, returned as a readout the buyer's agent can act on.

Agent Access

An MCP server that is an AdCP 3.2 Signals agent, in preview for approved partners: an advertiser's or platform's agent can discover signals, activate them, book in-store media and pull closed-loop measurement in the Middle East without a human in the loop.

Neutral by design. The network is operated independently of any retailer, brand or platform. Retailer data stays the retailer's, is hashed before any activation, and is never shared or sold; every buyer gets the same rules. That neutrality is what lets competing retailers join, and what makes the network worth calling. See partner and agent access in the API docs →

Revenue Model

How Retailers Earn

Multiple revenue streams from a single data connection.

Stream 1

Audience Fees

Brands pay a CPM premium to target retailer-derived audience segments. You earn on every impression.

Stream 2

Measurement Fees

Brands pay per lift study using your transaction data for closed-loop attribution.

Stream 3

Media Measurement Share

Percentage of media spend when brands use your sales data for campaign measurement and optimization.

Stream 4

Revenue Share

Transparent split on all data-driven revenue. You provide the data, we handle everything else.

Privacy & Trust

Data Protection Is Not Optional — It's the Foundation

Adperical Retail Data Network is built privacy-first. No raw customer data is ever shared with brands.

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Hashed on Ingestion

All identifiers are hashed before storage. Raw PII never enters the system.

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Retailer Controls Access

You decide which brands can use your data and which segments are available.

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No Data Exposure

Brands see aggregated segments, not individual customer records.

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Auditable Architecture

Full transparency on how data is used, with audit logs and access controls.

Built by the team behind Adperical's Incrementality Lab and Retail Lift Measurement systems — the same infrastructure already proving campaign impact at the register.

Let's Build This Together

Whether you're a retailer looking to monetize your data and your stores, a brand looking to target and measure with precision, or a platform or agency looking for retail audiences and register-level measurement in the Middle East — we'd like to talk.

Get in Touch

Or email us at info@adperical.com